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import csv
import datasets
class GenericCSVLoader(datasets.GeneratorBasedBuilder):
def _info(self):
return datasets.DatasetInfo(
description="Generic CSV loader script for Hugging Face Datasets.",
features=datasets.Features({
"CRASH DATE": datasets.Value("string"),
"CRASH TIME": datasets.Value("string"),
"BOROUGH": datasets.Value("string"),
"ZIP CODE": datasets.Value("string"),
"LATITUDE": datasets.Value("string"),
"LONGITUDE": datasets.Value("string"),
"LOCATION": datasets.Value("string"),
"ON STREET NAME": datasets.Value("string"),
"CROSS STREET NAME": datasets.Value("string"),
"OFF STREET NAME": datasets.Value("string"),
"NUMBER OF PERSONS INJURED": datasets.Value("string"),
"NUMBER OF PERSONS KILLED": datasets.Value("string"),
"NUMBER OF PEDESTRIANS INJURED": datasets.Value("string"),
"NUMBER OF PEDESTRIANS KILLED": datasets.Value("string"),
"NUMBER OF CYCLIST INJURED": datasets.Value("string"),
"NUMBER OF CYCLIST KILLED": datasets.Value("string"),
"NUMBER OF MOTORIST INJURED": datasets.Value("string"),
"NUMBER OF MOTORIST KILLED": datasets.Value("string"),
"CONTRIBUTING FACTOR VEHICLE 1": datasets.Value("string"),
"CONTRIBUTING FACTOR VEHICLE 2": datasets.Value("string"),
"CONTRIBUTING FACTOR VEHICLE 3": datasets.Value("string"),
"CONTRIBUTING FACTOR VEHICLE 4": datasets.Value("string"),
"CONTRIBUTING FACTOR VEHICLE 5": datasets.Value("string"),
"COLLISION_ID": datasets.Value("string"),
"VEHICLE TYPE CODE 1": datasets.Value("string"),
"VEHICLE TYPE CODE 2": datasets.Value("string"),
"VEHICLE TYPE CODE 3": datasets.Value("string"),
"VEHICLE TYPE CODE 4": datasets.Value("string"),
"VEHICLE TYPE CODE 5": datasets.Value("string")
}),
supervised_keys=None,
)
def _split_generators(self, dl_manager):
data_path = dl_manager.download_and_extract("NYC_Motor_Vehicle_Collisions_Mar_12_2025.csv")
return [
datasets.SplitGenerator(name=datasets.Split.TRAIN, gen_kwargs={"filepath": data_path})
]
def _generate_examples(self, filepath):
with open(filepath, newline="", encoding="utf-8") as f:
reader = csv.DictReader(f)
for i, row in enumerate(reader):
yield i, row
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